Research Facilities - Robotic Department

Research Facilities on Robotics department at Karunya University

Research Facilities

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Robotics

The Department provides a good ambience for research and innovation related to the following thrust areas of robotics by utilizing the infrastructure facility and the knowledge expertise available in the institution

  • Rehabilitation Robotics: Edu Exo Arm that includes Musculoskeletal extension and sensory feedback for position sensing
  • Robot Perception & Manipulation: Autonomous Robots embedded with intelligence to perform various applications
  • Mobile Robotics: Path Planning and Navigation of Autonomous Ground Mobile bots using Quansar Qbot 2
  • Aerial Robotics: Ambulance Drones for advanced life support.
  • Soft Robotics: Grasping and manipulation locomotion assisting devices, prostheses or artificial organs.
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Industrial Automation

Research in Industrial Automation covers the application of control theory, modeling, computing and operations for providing solution to control problems of process industries. It includes the following research areas:

  • Process modeling and simulation
  • Plant monitoring
  • Control techniques and algorithm
  • Networked control system
  • Design of DCS and SCADA
  • Process control area networks
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Sensor Technology

Industrial instrumentation research focuses on the design and development of techniques and instruments used for indicating, measuring and recording physical quantities in industry. It includes the following research areas:

  • Smart instrumentation
  • Wireless instrumentation
  • MEMS, sensors and actuators
  • Standardization
  • Distributed measurements
  • Sensor Data Fusion
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Artificial Intelligence and Machine Learning

The AI research lab helps in exploring ways to solve real time problems with advanced AI techniques. The primary aim is to provide training to students on advanced AI techniques - Machine learning, Deep learning, Neural networks, Fuzzy Logic and Optimization techniques. The research focuses on diversified areas in the field of

  • Agriculture -Identification of crop disease detection
  • Health care – Disease Identification and Classification
  • Data Science on health monitoring
  • Smart cities
  • Robotics – planning and control, chatbots
  • Computer vision
  • Data mining